About Me

I am a graduate student at the Massachusetts Institute of Technology working on my Masters in machine learning. I am advised by Prof. David Gifford in the Computational Genomics Research group in MIT's Computer Science and Artifical Intelligence Laboratory (CSAIL). My work involves building methods to interpret a model's decision making and understand its behavior.

Previously, I completed my undergrad at MIT, double majoring in computer science and mathematics. I also minored in economics. I graduated in June 2017.

My main interests broadly span machine learning and information, particularly as applied in computational biology and natural language processing. I am also intrigued by systems security and cryptography.

I have had the pleasure to work at Google Brain, Facebook, Bloomberg LP, KAYAK, and Leiden University.

I am originally from Long Island, New York. In my free time I enjoy sailing, hacking on various projects, and world traveling.


B. Carter, J. Mueller, S. Jain, D. Gifford.  What made you do this? Understanding black-box decisions with sufficient input subsets. arXiv preprint. 2018.     [arXiv] [pdf]

B. Carter, K. Leidal, D. Neal, Z. Neely.  Survey of Fully Verifiable Voting Cryptoschemes. 2016.     [pdf]

S.P. Epstein, K.B. Fernandez, B.M. Carter, S.A. Abdou, N. Gadaria, P. A. Asbell. Safety and Efficacy of Ganciclovir Ophthalmic Gel for Treatment of Adenovirus Keratoconjunctivitis Utilizing Cell Culture and Animal Models. Invest. Ophthalmol. Vis. Sci. 2012;53(14):6203.     [url]


Click on any of the projects below to learn more. You can also take a look at some of the contributions I have made on GitHub.

Twitter NLP Twitter NLP Follower Prediction
ICU Patient Predictions ICU Patient Predictions
Academics for the Future of Science Academics for the Future of Science
Ploegh Lab Website Ploegh Lab Website
StudentsThink StudentsThink


My email is bcarter [at] mit [dot] edu. Feel free to also connect with me on LinkedIn.

I look forward to getting in touch!